5 citations · 11 across the 4 of their papers we have counts for
4 papers
Common to Whom? Regional Cultural Commonsense and LLM Bias in India
Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno +3
Existing cultural commonsense benchmarks treat nations as monolithic, assuming uniform practices within national boundaries. But does cultural commonsense hold uniformly within a n…
A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications
Steph Buongiorno, Corey Clark
External knowledge graphs (KGs) can be used to augment large language models (LLMs), while simultaneously providing an explainable knowledge base of facts that can be inspected by…
PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based Video Games
Steph Buongiorno, Lawrence Jake Klinkert, Tanishq Chawla +2
This research introduces Procedural Artificial Narrative using Generative AI (PANGeA), a structured approach for leveraging large language models (LLMs), guided by a game designer'…
Evaluating the Efficacy of LLMs to Emulate Realistic Human Personalities
Lawrence J. Klinkert, Stephanie Buongiorno, Corey Clark
To enhance immersion and engagement in video games, the design of Affective Non-Player Characters (ANPCs) is a key focus for researchers and practitioners. Affective Computing fram…